General Over View

Machine Learning MATHS

Here are the remaining 200 points: _Differential Equations (continued)_ 1. Phase Plane Analysis 2. Limit Cycles 3. Bifurcation Diagrams 4. Chaos Theory 5. Fractals 6. Nonlinear Dynamics 7. Stochastic Differential Equations 8. Random Processes 9. Markov Chains 10. Monte Carlo Methods _Deep Learning Specific (20)_ 1. Backpropagation 2. Activation Functions 3. Loss Functions 4. Regularization Techniques 5. Batch Normalization 6. Dropout 7. Convolutional Neural Networks (CNNs) 8. Recurrent Neural Networks (RNNs) 9. Long Short-Term Memory (LSTM) 10. Gated Recurrent Units (GRU) 11. Transformers 12. Attention Mechanisms 13. Generative Adversarial Networks (GANs) 14. Variational Autoencoders (VAEs) 15. Word Embeddings 16. Language Models 17. Sequence-to-Sequence Models 18. Deep Reinforcement Learning 19. Deep Transfer Learning 20. Adversarial Training _Mathematical Functions (20)_ 1. Sigmoid 2. ReLU 3. Tanh 4. Softmax 5. Gaussian 6. Exponential 7. Logarithmic 8. Trigonometric 9. Hyperbolic 10....

AI languages

Computer languages also have a core structure, much like the skeleton of the human body. This core structure can be defined by key components that most languages share, even though their syntax or use cases may differ. Here’s a breakdown of the core structure that defines computer languages: 1. Syntax This is the set of rules that defines the combinations of symbols that are considered to be correctly structured programs in that language. It’s similar to grammar in human languages. Examples: Python uses indentation for blocks, C uses braces {} . 2. Variables and Data Types Variables store information, and data types specify what kind of information (integer, float, string, etc.). Core data types include: integers, floats, characters, booleans, and arrays/lists. 3. Control Flow This determines how the instructions are executed, i.e., in what order. Most languages have basic control structures like: If-Else Statements : Conditional logic to execute code based on conditions. Loops (For, ...

Notable generative AI companies

Here’s the detailed list of notable generative AI companies categorized by continent, including their focus/products and websites: North America OpenAI - Language models and AI research. openai.com Google DeepMind - AI research and applications in various domains. deepmind.com NVIDIA - AI hardware and software for deep learning. nvidia.com IBM Watson - AI for enterprise solutions. ibm.com/watson Microsoft - AI services and tools for developers. microsoft.com Adobe - Creative tools with generative AI features. adobe.com Stability AI - Open-source models for image and text generation. stability.ai Runway - AI tools for creative professionals. runwayml.com Hugging Face - Community-driven NLP models and tools. huggingface.co Cohere - AI for natural language processing. cohere.ai Copy.ai - AI for content generation. copy.ai Jasper - AI writing assistant. jasper.ai ChatGPT - Conversational AI applications. openai.co...

ARTIFICIAL INTELLIGENCE

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